{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "import sys\n",
    "from sklearn.preprocessing import normalize\n",
    "from mpl_toolkits.mplot3d import axes3d\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import style\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "xy = np.loadtxt('C:\\\\Users\\\\SANHA\\\\Desktop\\\\new_data.csv', delimiter=',', dtype=np.float32)\n",
    "x_data=xy[:,0:-1]\n",
    "x_data = normalize(x_data, axis=0, norm='max')\n",
    "xy[:,0:-1]=x_data\n",
    "y_data=xy[:,[-1]]\n",
    "m_data=xy[:499,:]\n",
    "r_data=xy[:10000,:]\n",
    "g_data=xy[:0,:]\n",
    "F_data=xy[:,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Model Inputs\n",
    "def model_inputs(real_dim, noise_dim):\n",
    "    inputs_real_ = tf.placeholder(tf.float32, shape=[None, real_dim], name='inputs_real')\n",
    "    inputs_z_ = tf.placeholder(tf.float32, shape=[None, noise_dim], name='inputs_z')\n",
    "    \n",
    "    return inputs_real_, inputs_z_\n",
    "\n",
    "def leaky_relu(x, alpha):\n",
    "    return tf.maximum(alpha * x, x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Generator Network\n",
    "def model_generator(z_input, out_dim, n_units=128, reuse=False, alpha=0.01):\n",
    "    # used to reuse variables, name scope\n",
    "    with tf.variable_scope('generator', reuse=reuse):\n",
    "        hidden_layer = tf.layers.dense(z_input, n_units, activation=None)\n",
    "        hidden_layer = leaky_relu(hidden_layer, alpha)\n",
    "        \n",
    "        logits = tf.layers.dense(hidden_layer, out_dim, activation=None)\n",
    "        outputs = tf.nn.sigmoid(logits)\n",
    "        \n",
    "        return outputs, logits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Discriminator Network\n",
    "def model_discriminator(input, n_units=128, reuse=False, alpha=0.1):\n",
    "    with tf.variable_scope('discriminator', reuse=reuse):\n",
    "        hidden_layer = tf.layers.dense(input, n_units, activation=tf.nn.relu)\n",
    "        #hidden_layer = leaky_relu(hidden_layer, alpha)\n",
    "        \n",
    "        logits = tf.layers.dense(hidden_layer, 1, activation=None)\n",
    "        outputs = tf.nn.sigmoid(logits)\n",
    "        \n",
    "        return outputs, logits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#parameter\n",
    "input_size = 42\n",
    "z_dim = 21\n",
    "g_hidden_size = 128\n",
    "d_hidden_size = 128\n",
    "alpha = 0.1\n",
    "smooth = 0.1\n",
    "learning_rate = 0.001"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "tf.reset_default_graph()  # If we don't have this, as we call this block over and over, the graph gets bigger and bigger\n",
    "\n",
    "graph = tf.Graph()\n",
    "with graph.as_default():\n",
    "    inputs_real, inputs_z = model_inputs(input_size, z_dim)\n",
    "    \n",
    "    g_outputs, g_logits = model_generator(inputs_z, input_size, n_units=g_hidden_size, reuse=False, alpha=alpha)\n",
    "    \n",
    "    d_outputs_real, d_logits_real = model_discriminator(inputs_real, n_units=d_hidden_size, reuse=False, alpha=alpha)\n",
    "    d_outputs_fake, d_logits_fake = model_discriminator(g_outputs, n_units=d_hidden_size, reuse=True, alpha=alpha)\n",
    "    \n",
    "    d_loss_real = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_real, labels=tf.ones_like(d_logits_real) * (1-smooth)))\n",
    "    d_loss_fake = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.zeros_like(d_logits_fake)))\n",
    "    \n",
    "    d_loss = d_loss_real + d_loss_fake\n",
    "    g_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.ones_like(d_logits_fake)))\n",
    "    \n",
    "    t_vars = tf.trainable_variables()\n",
    "    g_vars = [variable for variable in t_vars if 'generator' in variable.name]\n",
    "    d_vars = [variable for variable in t_vars if 'discriminator' in variable.name]\n",
    "    \n",
    "    # Affected Variables with var_list\n",
    "    d_optimizer = tf.train.AdamOptimizer(learning_rate=learning_rate).minimize(d_loss, var_list=d_vars)\n",
    "    g_optimizer = tf.train.AdamOptimizer(learning_rate=learning_rate).minimize(g_loss, var_list=g_vars)\n",
    "    \n",
    "    # Saving variables with var_list\n",
    "    saver = tf.train.Saver(var_list=g_vars)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'list_loss_g' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-7-ffac284b348b>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlist_loss_g\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mlist_loss_d\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'list_loss_g' is not defined"
     ]
    }
   ],
   "source": [
    "plt.plot(list_loss_g,list_loss_d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'list_loss_d' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-8-d60acab42a34>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mlist_loss_d\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'list_loss_d' is not defined"
     ]
    }
   ],
   "source": [
    "list_loss_d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "list_loss_g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "28488 / 100000: 0.697456, 1.169728"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-11-b753d1232b2a>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m     23\u001b[0m         \u001b[0msys\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstdout\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mflush\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     24\u001b[0m         \u001b[0msample_z\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrandom\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0muniform\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msize\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mz_dim\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m  \u001b[1;31m# 16 Samples each epoch\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 25\u001b[1;33m         \u001b[0mgen_samples\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m_\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msess\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmodel_generator\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minputs_z\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minput_size\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mreuse\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfeed_dict\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m{\u001b[0m\u001b[0minputs_z\u001b[0m \u001b[1;33m:\u001b[0m \u001b[0msample_z\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     26\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     27\u001b[0m         \u001b[0mtemp\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mgen_samples\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m41\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36mrun\u001b[1;34m(self, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[0;32m    898\u001b[0m     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    899\u001b[0m       result = self._run(None, fetches, feed_dict, options_ptr,\n\u001b[1;32m--> 900\u001b[1;33m                          run_metadata_ptr)\n\u001b[0m\u001b[0;32m    901\u001b[0m       \u001b[1;32mif\u001b[0m \u001b[0mrun_metadata\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    902\u001b[0m         \u001b[0mproto_data\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtf_session\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mTF_GetBuffer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrun_metadata_ptr\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_run\u001b[1;34m(self, handle, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[0;32m   1133\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mfinal_fetches\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mfinal_targets\u001b[0m \u001b[1;32mor\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mhandle\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mfeed_dict_tensor\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1134\u001b[0m       results = self._do_run(handle, final_targets, final_fetches,\n\u001b[1;32m-> 1135\u001b[1;33m                              feed_dict_tensor, options, run_metadata)\n\u001b[0m\u001b[0;32m   1136\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1137\u001b[0m       \u001b[0mresults\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_do_run\u001b[1;34m(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)\u001b[0m\n\u001b[0;32m   1314\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mhandle\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1315\u001b[0m       return self._do_call(_run_fn, feeds, fetches, targets, options,\n\u001b[1;32m-> 1316\u001b[1;33m                            run_metadata)\n\u001b[0m\u001b[0;32m   1317\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1318\u001b[0m       \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_do_call\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_prun_fn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mhandle\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfeeds\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfetches\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_do_call\u001b[1;34m(self, fn, *args)\u001b[0m\n\u001b[0;32m   1320\u001b[0m   \u001b[1;32mdef\u001b[0m \u001b[0m_do_call\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1321\u001b[0m     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1322\u001b[1;33m       \u001b[1;32mreturn\u001b[0m \u001b[0mfn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1323\u001b[0m     \u001b[1;32mexcept\u001b[0m \u001b[0merrors\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mOpError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1324\u001b[0m       \u001b[0mmessage\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcompat\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mas_text\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmessage\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_run_fn\u001b[1;34m(feed_dict, fetch_list, target_list, options, run_metadata)\u001b[0m\n\u001b[0;32m   1303\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m_run_fn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfeed_dict\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfetch_list\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtarget_list\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moptions\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrun_metadata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1304\u001b[0m       \u001b[1;31m# Ensure any changes to the graph are reflected in the runtime.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1305\u001b[1;33m       \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_extend_graph\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1306\u001b[0m       return self._call_tf_sessionrun(\n\u001b[0;32m   1307\u001b[0m           options, feed_dict, fetch_list, target_list, run_metadata)\n",
      "\u001b[1;32m~\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_extend_graph\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m   1338\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_created_with_new_api\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1339\u001b[0m       \u001b[1;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_graph\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_lock\u001b[0m\u001b[1;33m:\u001b[0m  \u001b[1;31m# pylint: disable=protected-access\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1340\u001b[1;33m         \u001b[0mtf_session\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mExtendSession\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_session\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1341\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1342\u001b[0m       \u001b[1;31m# Ensure any changes to the graph are reflected in the runtime.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "samples=[]\n",
    "normal=0\n",
    "abnormal=0\n",
    "list_loss_d=[]\n",
    "list_loss_g=[]\n",
    "with tf.Session(graph=graph) as sess:\n",
    "    sess.run(tf.global_variables_initializer())\n",
    "    f = open('C:\\\\Users\\\\SANHA\\\\Desktop\\\\gen_sample100000.txt', 'a+')\n",
    "    for step in range(100000):\n",
    "        \n",
    "        \n",
    "        batch_images = F_data[step].reshape([1, 42])\n",
    "        batch_z = np.random.uniform(-1, 1, size=[1, z_dim])\n",
    "        \n",
    "        _ = sess.run(d_optimizer, feed_dict={inputs_real : batch_images, inputs_z : batch_z})\n",
    "        _ = sess.run(g_optimizer, feed_dict={inputs_z : batch_z})\n",
    "        loss_d, loss_g = sess.run([d_loss, g_loss], feed_dict={inputs_real : batch_images, inputs_z : batch_z})\n",
    "        list_loss_d.append(loss_d)\n",
    "        list_loss_g.append(loss_g)\n",
    "        #if step%1000==0:\n",
    "        #    print('step {} / {} Complete. D_Loss : {:0.3f}, G_Loss : {:0.3f}'.format(step+1, 100000, loss_d, loss_g))\n",
    "        sys.stdout.write(\"\\r%d / %d: %f, %f\" % (step, 100000, loss_d, loss_g))\n",
    "        sys.stdout.flush()\n",
    "        sample_z = np.random.uniform(-1, 1, size=[1, z_dim])  # 16 Samples each epoch\n",
    "        gen_samples, _ = sess.run(model_generator(inputs_z, input_size, reuse=True), feed_dict={inputs_z : sample_z})\n",
    "        \n",
    "        temp=gen_samples[0,41]\n",
    "        #print(temp)\n",
    "        if temp>=0.5:\n",
    "            gen_samples[0,41]=1\n",
    "            abnormal+=1\n",
    "        else :\n",
    "            gen_samples[0,41]=0\n",
    "            normal+=1\n",
    "        #print(temp,gen_samples[0,41])\n",
    "        #write for text to csv\n",
    "        f.write(\"%f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f \\n\" %(gen_samples[0,0],gen_samples[0,1],gen_samples[0,2],gen_samples[0,3],gen_samples[0,4],gen_samples[0,5],gen_samples[0,6],gen_samples[0,7],gen_samples[0,8],gen_samples[0,9],gen_samples[0,10],gen_samples[0,11],gen_samples[0,12],gen_samples[0,13],gen_samples[0,14],gen_samples[0,15],gen_samples[0,16],gen_samples[0,17],gen_samples[0,18],gen_samples[0,19],gen_samples[0,20],gen_samples[0,21],gen_samples[0,22],gen_samples[0,23],gen_samples[0,24],gen_samples[0,25],gen_samples[0,26],gen_samples[0,27],gen_samples[0,28],gen_samples[0,29],gen_samples[0,30],gen_samples[0,31],gen_samples[0,32],gen_samples[0,33],gen_samples[0,34],gen_samples[0,35],gen_samples[0,36],gen_samples[0,37],gen_samples[0,38],gen_samples[0,39],gen_samples[0,40],gen_samples[0,41]))\n",
    "       \n",
    "        \n",
    "    print('Generating Complete. normal={}, abnormal={}'.format(normal,abnormal))\n",
    "    f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "finished\n"
     ]
    }
   ],
   "source": [
    "xy2 = np.genfromtxt('C:\\\\Users\\\\SANHA\\\\Desktop\\\\mix_data_40000.csv', delimiter=',', dtype=np.float32)\n",
    "xy3 = np.loadtxt('C:\\\\Users\\\\SANHA\\\\Desktop\\\\gen_data.csv', delimiter=',', dtype=np.float32)\n",
    "xy4 = np.loadtxt('C:\\\\Users\\\\SANHA\\\\Desktop\\\\false_data.csv', delimiter=',', dtype=np.float32)\n",
    "#gen data 20000\n",
    "gx_data=xy3[:,0:-1]\n",
    "gy_data=xy3[:,[-1]]\n",
    "gF_data=xy3[:,:]\n",
    "\n",
    "#gen 20000+real 20000\n",
    "mx_data=xy2[:39999,0:-1]\n",
    "my_data=xy2[:39999,[-1]]\n",
    "mF_data=xy2[:39999,:]\n",
    "\n",
    "#real data 40000\n",
    "tx_data=r_data[:40000,0:-1]\n",
    "ty_data=r_data[:40000,[-1]]\n",
    "\n",
    "#false data\n",
    "FF_data=xy4[:,:]\n",
    "Fx_data=xy4[:,0:-1]\n",
    "Fy_data=xy4[:,[-1]]\n",
    "print(\"finished\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 390,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step:     0\tLoss: 2.352\tAcc: 46.54%\n",
      "step:    10\tLoss: 0.349\tAcc: 87.93%\n",
      "step:    20\tLoss: 0.227\tAcc: 89.01%\n",
      "step:    30\tLoss: 0.176\tAcc: 92.19%\n",
      "step:    40\tLoss: 0.150\tAcc: 94.74%\n",
      "step:    50\tLoss: 0.135\tAcc: 95.40%\n",
      "step:    60\tLoss: 0.125\tAcc: 96.00%\n",
      "step:    70\tLoss: 0.119\tAcc: 96.06%\n",
      "step:    80\tLoss: 0.113\tAcc: 96.42%\n",
      "step:    90\tLoss: 0.109\tAcc: 96.53%\n",
      "0\n",
      "100\n",
      "200\n",
      "300\n",
      "400\n",
      "500\n",
      "600\n",
      "700\n",
      "800\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "true=431 false: 387 acc: 0.53\n"
     ]
    }
   ],
   "source": [
    "nb_classes=2\n",
    "\n",
    "X=tf.placeholder(tf.float32,[None,41])\n",
    "Y=tf.placeholder(tf.int32,[None,1])\n",
    "\n",
    "Y_one_hot=tf.one_hot(Y,nb_classes)\n",
    "Y_one_hot=tf.reshape(Y_one_hot,[-1,nb_classes])\n",
    "\n",
    "W1=tf.Variable(tf.random_normal([41,41]),name='weight1')\n",
    "b1=tf.Variable(tf.random_normal([41]),name='bias1')\n",
    "layer1=tf.sigmoid(tf.matmul(X,W1)+b1)\n",
    "\n",
    "W2=tf.Variable(tf.random_normal([41,41]),name='weight2')\n",
    "b2=tf.Variable(tf.random_normal([41]),name='bias2')\n",
    "layer2=tf.sigmoid(tf.matmul(layer1,W2)+b2)\n",
    "\n",
    "W3=tf.Variable(tf.random_normal([41,nb_classes]),name='weight3')\n",
    "b3=tf.Variable(tf.random_normal([nb_classes]),name='bias3')\n",
    "logits=tf.matmul(layer2,W3)+b3\n",
    "hypothesis=tf.nn.softmax(logits)\n",
    "\n",
    "cost_i=tf.nn.softmax_cross_entropy_with_logits(logits=logits,labels=Y_one_hot)\n",
    "\n",
    "cost=tf.reduce_mean(cost_i)\n",
    "optimizer=tf.train.AdamOptimizer(learning_rate=0.01).minimize(cost)\n",
    "\n",
    "prediction=tf.argmax(hypothesis,1) #가능성을 퍼센트로~~\n",
    "correct_prediction=tf.equal(prediction,tf.arg_max(Y_one_hot,1))\n",
    "accuracy=tf.reduce_mean(tf.cast(correct_prediction,tf.float32))\n",
    "\n",
    "with tf.Session() as sess:\n",
    "    sess.run(tf.global_variables_initializer())\n",
    "    #f = open('C:\\\\Users\\\\SANHA\\\\Desktop\\\\false_data.txt', 'w')\n",
    "    for step in range(100):\n",
    "        sess.run(optimizer,feed_dict={X:x_data,Y:y_data})\n",
    "        #print(\"training by gan sample\")\n",
    "        if step %10==0:\n",
    "            loss,acc=sess.run([cost,accuracy],feed_dict={X:x_data,Y:y_data})\n",
    "            print(\"step: {:5}\\tLoss: {:.3f}\\tAcc: {:.2%}\".format(step,loss,acc))\n",
    "\n",
    "\n",
    "#m_data=np.append(m_data,gen_samples,axis=0)\n",
    "\n",
    "    pred = sess.run(prediction, feed_dict={X: Fx_data})\n",
    "    tr=0\n",
    "    fa=0\n",
    "    total=0\n",
    "    fig = plt.figure(figsize=(15,9))\n",
    "    ax = fig.add_subplot(1,1,1)\n",
    "    ax.set(xlim=[0, 42], ylim=[0,1.5])\n",
    "    for p, y in zip(pred, Fy_data.flatten()):\n",
    "            if(total%100==0):\n",
    "                print(total)\n",
    "            if(p==int(y)): \n",
    "                tr+=1\n",
    "                total+=1\n",
    "            #if(tr%50==0):\n",
    "                line, = ax.plot([1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42], F_data[total,:].flatten())\n",
    "                line.set(color='red',\n",
    "                 linewidth=1, linestyle='--',\n",
    "                 marker='o', markersize=1, markeredgewidth=1,\n",
    "                 markerfacecolor='blue', markeredgecolor='darkblue')\n",
    "            else:\n",
    "                fa+=1\n",
    "                total+=1\n",
    "                line, = ax.plot([1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42], F_data[total,:].flatten())\n",
    "                line.set(color='green',\n",
    "                 linewidth=1, linestyle='--',\n",
    "                 marker='o', markersize=1, markeredgewidth=1,\n",
    "                 markerfacecolor='green', markeredgecolor='green')\n",
    "                \n",
    "\n",
    "\n",
    "    plt.show()                          \n",
    "   \n",
    "    #f.close()\n",
    "    print(\"true={} false: {} acc: {:0.2f}\".format(tr,fa,tr/(tr+fa)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "FailedPreconditionError",
     "evalue": "Attempting to use uninitialized value weight1_34\n\t [[Node: weight1_34/read = Identity[T=DT_FLOAT, _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"](weight1_34)]]\n\nCaused by op 'weight1_34/read', defined at:\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\runpy.py\", line 193, in _run_module_as_main\n    \"__main__\", mod_spec)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\runpy.py\", line 85, in _run_code\n    exec(code, run_globals)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\ipykernel_launcher.py\", line 16, in <module>\n    app.launch_new_instance()\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\traitlets\\config\\application.py\", line 658, in launch_instance\n    app.start()\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\ipykernel\\kernelapp.py\", line 486, in start\n    self.io_loop.start()\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 127, in start\n    self.asyncio_loop.run_forever()\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\asyncio\\base_events.py\", line 421, in run_forever\n    self._run_once()\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\asyncio\\base_events.py\", line 1425, in _run_once\n    handle._run()\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\asyncio\\events.py\", line 127, in _run\n    self._callback(*self._args)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 117, in _handle_events\n    handler_func(fileobj, events)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tornado\\stack_context.py\", line 276, in null_wrapper\n    return fn(*args, **kwargs)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\zmq\\eventloop\\zmqstream.py\", line 450, in _handle_events\n    self._handle_recv()\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\zmq\\eventloop\\zmqstream.py\", line 480, in _handle_recv\n    self._run_callback(callback, msg)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\zmq\\eventloop\\zmqstream.py\", line 432, in _run_callback\n    callback(*args, **kwargs)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tornado\\stack_context.py\", line 276, in null_wrapper\n    return fn(*args, **kwargs)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 283, in dispatcher\n    return self.dispatch_shell(stream, msg)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 233, in dispatch_shell\n    handler(stream, idents, msg)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 399, in execute_request\n    user_expressions, allow_stdin)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\ipykernel\\ipkernel.py\", line 208, in do_execute\n    res = shell.run_cell(code, store_history=store_history, silent=silent)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\ipykernel\\zmqshell.py\", line 537, in run_cell\n    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2662, in run_cell\n    raw_cell, store_history, silent, shell_futures)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2785, in _run_cell\n    interactivity=interactivity, compiler=compiler, result=result)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2903, in run_ast_nodes\n    if self.run_code(code, result):\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2963, in run_code\n    exec(code_obj, self.user_global_ns, self.user_ns)\n  File \"<ipython-input-170-2e6f997294bc>\", line 10, in <module>\n    W1=tf.Variable(tf.random_normal([41,41]),name='weight1')\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\ops\\variables.py\", line 259, in __init__\n    constraint=constraint)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\ops\\variables.py\", line 422, in _init_from_args\n    self._snapshot = array_ops.identity(self._variable, name=\"read\")\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\ops\\array_ops.py\", line 79, in identity\n    return gen_array_ops.identity(input, name=name)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\ops\\gen_array_ops.py\", line 3887, in identity\n    \"Identity\", input=input, name=name)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\framework\\op_def_library.py\", line 787, in _apply_op_helper\n    op_def=op_def)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\framework\\ops.py\", line 3414, in create_op\n    op_def=op_def)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\framework\\ops.py\", line 1740, in __init__\n    self._traceback = self._graph._extract_stack()  # pylint: disable=protected-access\n\nFailedPreconditionError (see above for traceback): Attempting to use uninitialized value weight1_34\n\t [[Node: weight1_34/read = Identity[T=DT_FLOAT, _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"](weight1_34)]]\n",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mFailedPreconditionError\u001b[0m                   Traceback (most recent call last)",
      "\u001b[1;32m~\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_do_call\u001b[1;34m(self, fn, *args)\u001b[0m\n\u001b[0;32m   1321\u001b[0m     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1322\u001b[1;33m       \u001b[1;32mreturn\u001b[0m \u001b[0mfn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1323\u001b[0m     \u001b[1;32mexcept\u001b[0m \u001b[0merrors\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mOpError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_run_fn\u001b[1;34m(feed_dict, fetch_list, target_list, options, run_metadata)\u001b[0m\n\u001b[0;32m   1306\u001b[0m       return self._call_tf_sessionrun(\n\u001b[1;32m-> 1307\u001b[1;33m           options, feed_dict, fetch_list, target_list, run_metadata)\n\u001b[0m\u001b[0;32m   1308\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_call_tf_sessionrun\u001b[1;34m(self, options, feed_dict, fetch_list, target_list, run_metadata)\u001b[0m\n\u001b[0;32m   1408\u001b[0m           \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_session\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moptions\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfeed_dict\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfetch_list\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtarget_list\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1409\u001b[1;33m           run_metadata)\n\u001b[0m\u001b[0;32m   1410\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mFailedPreconditionError\u001b[0m: Attempting to use uninitialized value weight1_34\n\t [[Node: weight1_34/read = Identity[T=DT_FLOAT, _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"](weight1_34)]]",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mFailedPreconditionError\u001b[0m                   Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-171-f695e1819eb9>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mwith\u001b[0m \u001b[0mtf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSession\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0msess\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m     \u001b[0mpred\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msess\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mprediction\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfeed_dict\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m{\u001b[0m\u001b[0mX\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mx_data\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m     \u001b[1;32mfor\u001b[0m \u001b[0mp\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpred\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my_data\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mflatten\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m             \u001b[1;32mif\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mp\u001b[0m\u001b[1;33m==\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m                 \u001b[0mtr\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtr\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36mrun\u001b[1;34m(self, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[0;32m    898\u001b[0m     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    899\u001b[0m       result = self._run(None, fetches, feed_dict, options_ptr,\n\u001b[1;32m--> 900\u001b[1;33m                          run_metadata_ptr)\n\u001b[0m\u001b[0;32m    901\u001b[0m       \u001b[1;32mif\u001b[0m \u001b[0mrun_metadata\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    902\u001b[0m         \u001b[0mproto_data\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtf_session\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mTF_GetBuffer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrun_metadata_ptr\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_run\u001b[1;34m(self, handle, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[0;32m   1133\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mfinal_fetches\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mfinal_targets\u001b[0m \u001b[1;32mor\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mhandle\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mfeed_dict_tensor\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1134\u001b[0m       results = self._do_run(handle, final_targets, final_fetches,\n\u001b[1;32m-> 1135\u001b[1;33m                              feed_dict_tensor, options, run_metadata)\n\u001b[0m\u001b[0;32m   1136\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1137\u001b[0m       \u001b[0mresults\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_do_run\u001b[1;34m(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)\u001b[0m\n\u001b[0;32m   1314\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mhandle\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1315\u001b[0m       return self._do_call(_run_fn, feeds, fetches, targets, options,\n\u001b[1;32m-> 1316\u001b[1;33m                            run_metadata)\n\u001b[0m\u001b[0;32m   1317\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1318\u001b[0m       \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_do_call\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_prun_fn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mhandle\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfeeds\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfetches\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_do_call\u001b[1;34m(self, fn, *args)\u001b[0m\n\u001b[0;32m   1333\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1334\u001b[0m           \u001b[1;32mpass\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1335\u001b[1;33m       \u001b[1;32mraise\u001b[0m \u001b[0mtype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnode_def\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mop\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmessage\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1336\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1337\u001b[0m   \u001b[1;32mdef\u001b[0m \u001b[0m_extend_graph\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mFailedPreconditionError\u001b[0m: Attempting to use uninitialized value weight1_34\n\t [[Node: weight1_34/read = Identity[T=DT_FLOAT, _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"](weight1_34)]]\n\nCaused by op 'weight1_34/read', defined at:\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\runpy.py\", line 193, in _run_module_as_main\n    \"__main__\", mod_spec)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\runpy.py\", line 85, in _run_code\n    exec(code, run_globals)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\ipykernel_launcher.py\", line 16, in <module>\n    app.launch_new_instance()\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\traitlets\\config\\application.py\", line 658, in launch_instance\n    app.start()\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\ipykernel\\kernelapp.py\", line 486, in start\n    self.io_loop.start()\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 127, in start\n    self.asyncio_loop.run_forever()\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\asyncio\\base_events.py\", line 421, in run_forever\n    self._run_once()\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\asyncio\\base_events.py\", line 1425, in _run_once\n    handle._run()\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\asyncio\\events.py\", line 127, in _run\n    self._callback(*self._args)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 117, in _handle_events\n    handler_func(fileobj, events)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tornado\\stack_context.py\", line 276, in null_wrapper\n    return fn(*args, **kwargs)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\zmq\\eventloop\\zmqstream.py\", line 450, in _handle_events\n    self._handle_recv()\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\zmq\\eventloop\\zmqstream.py\", line 480, in _handle_recv\n    self._run_callback(callback, msg)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\zmq\\eventloop\\zmqstream.py\", line 432, in _run_callback\n    callback(*args, **kwargs)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tornado\\stack_context.py\", line 276, in null_wrapper\n    return fn(*args, **kwargs)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 283, in dispatcher\n    return self.dispatch_shell(stream, msg)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 233, in dispatch_shell\n    handler(stream, idents, msg)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 399, in execute_request\n    user_expressions, allow_stdin)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\ipykernel\\ipkernel.py\", line 208, in do_execute\n    res = shell.run_cell(code, store_history=store_history, silent=silent)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\ipykernel\\zmqshell.py\", line 537, in run_cell\n    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2662, in run_cell\n    raw_cell, store_history, silent, shell_futures)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2785, in _run_cell\n    interactivity=interactivity, compiler=compiler, result=result)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2903, in run_ast_nodes\n    if self.run_code(code, result):\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2963, in run_code\n    exec(code_obj, self.user_global_ns, self.user_ns)\n  File \"<ipython-input-170-2e6f997294bc>\", line 10, in <module>\n    W1=tf.Variable(tf.random_normal([41,41]),name='weight1')\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\ops\\variables.py\", line 259, in __init__\n    constraint=constraint)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\ops\\variables.py\", line 422, in _init_from_args\n    self._snapshot = array_ops.identity(self._variable, name=\"read\")\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\ops\\array_ops.py\", line 79, in identity\n    return gen_array_ops.identity(input, name=name)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\ops\\gen_array_ops.py\", line 3887, in identity\n    \"Identity\", input=input, name=name)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\framework\\op_def_library.py\", line 787, in _apply_op_helper\n    op_def=op_def)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\framework\\ops.py\", line 3414, in create_op\n    op_def=op_def)\n  File \"C:\\Users\\SANHA\\Anaconda3\\envs\\py35\\lib\\site-packages\\tensorflow\\python\\framework\\ops.py\", line 1740, in __init__\n    self._traceback = self._graph._extract_stack()  # pylint: disable=protected-access\n\nFailedPreconditionError (see above for traceback): Attempting to use uninitialized value weight1_34\n\t [[Node: weight1_34/read = Identity[T=DT_FLOAT, _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"](weight1_34)]]\n"
     ]
    }
   ],
   "source": [
    "with tf.Session() as sess:  \n",
    "    pred = sess.run(prediction, feed_dict={X: x_data})\n",
    "    for p, y in zip(pred, y_data.flatten()):\n",
    "            if(p==int(y)):\n",
    "                tr=tr+1\n",
    "            else:\n",
    "                fa=fa+1\n",
    "                #print(gx_data)\n",
    "                f.write(\"%f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f \\n\" %(gx_data[fa,0],gx_data[fa,1],gx_data[fa,2],gx_data[fa,3],gx_data[fa,4],gx_data[fa,5],gx_data[fa,6],gx_data[fa,7],gx_data[fa,8],gx_data[fa,9],gx_data[fa,10],gx_data[0,11],gx_data[fa,12],gx_data[fa,13],gx_data[fa,14],gx_data[fa,15],gx_data[fa,16],gx_data[fa,17],gx_data[fa,18],gx_data[fa,19],gx_data[fa,20],gx_data[fa,21],gx_data[fa,22],gx_data[fa,23],gx_data[fa,24],gx_data[fa,25],gx_data[fa,26],gx_data[fa,27],gx_data[fa,28],gx_data[fa,29],gx_data[fa,30],gx_data[fa,31],gx_data[fa,32],gx_data[fa,33],gx_data[fa,34],gx_data[fa,35],gx_data[fa,36],gx_data[fa,37],gx_data[fa,38],gx_data[fa,39],gx_data[fa,40],gy_data[fa,0]))\n",
    "                \n",
    "            #print(\"[{}] Prediction: {} Real Y: {}\".format(p == int(y), p, int(y)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 361,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "0.015655577\n",
      "1.0\n",
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      "0.06\n",
      "0.06\n",
      "0.0\n",
      "1.0\n",
      "0.050980393\n",
      "0.05\n",
      "0.06\n",
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      "1.0\n",
      "1.0\n",
      "0.0\n",
      "0.0\n",
      "1.0\n",
      "-------\n"
     ]
    },
    {
     "ename": "TypeError",
     "evalue": "only size-1 arrays can be converted to Python scalars",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-361-b9995fc15f41>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m     30\u001b[0m \u001b[0mdy\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m.05\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mones\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     31\u001b[0m \u001b[0mdz\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mflatten\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 32\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mF_data\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mE\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mYi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mXi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mF\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mYi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mXi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     33\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     34\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbar3d\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mXi\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mYi\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mZi\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mdx\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mdy\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mdz\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mcolor\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'r'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: only size-1 arrays can be converted to Python scalars"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mpl_toolkits.mplot3d import axes3d\n",
    "import matplotlib.pyplot as plt\n",
    "graph=F_data[:100,:]\n",
    "#data=[]\n",
    "epoch=np.linspace(1,10,10)\n",
    "feature=np.linspace(0,41,42)\n",
    "F,E=np.meshgrid(feature,epoch)\n",
    "\n",
    "for a in range(10):\n",
    "    #print(a)\n",
    "    for b in range(41+1):\n",
    "        #print(E[a][a]-1,F[a][b])\n",
    "        data=np.array(F_data[int(E[a][a]-1),int(F[a][b])])\n",
    "        print(F_data[int(E[a][a]-1),int(F[a][b])])\n",
    "        \n",
    "#print(F.flatten())\n",
    "\n",
    "#print(F_data[E.flatten(),F.flatten()])\n",
    "\n",
    "\n",
    "print(\"-------\")\n",
    "fig=plt.figure()\n",
    "ax=fig.gca(projection='3d')\n",
    "\n",
    "Xi=F.flatten()\n",
    "Yi=E.flatten()\n",
    "Zi=np.zeros(1)\n",
    "\n",
    "dx=.05*np.ones(1)\n",
    "dy=.05*np.ones(1)\n",
    "dz=data.flatten()\n",
    "print(F_data[int(E[int(Yi)][int(Xi)]-1),int(F[int(Yi)][int(Xi)])])\n",
    "\n",
    "ax.bar3d(Xi,Yi,Zi,dx,dy,dz,color='r')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(15,9))\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "ax.set(xlim=[0, 42], ylim=[0,1])\n",
    " \n",
    "line, = ax.plot([1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42], FF_data[99:100,:].flatten())\n",
    "if(FF_data[99:100,[-1]]==0):\n",
    "    line.set(color='blue',\n",
    "         linewidth=1, linestyle='--',\n",
    "         marker='o', markersize=8, markeredgewidth=2,\n",
    "         markerfacecolor='blue', markeredgecolor='darkblue')\n",
    "else:\n",
    "    line.set(color='red',\n",
    "         linewidth=1, linestyle='--',\n",
    "         marker='o', markersize=8, markeredgewidth=2,\n",
    "         markerfacecolor='blue', markeredgecolor='darkred')\n",
    " \n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
